BSD Ports

misc/frugally-deep 0.20.0 FreeBSD

C++ header-only library to use Keras models in C++ with ease

System
FreeBSD
Repository
FreeBSD ports
Maintainer
[email protected]
License
MIT
Categories
misc

Description

frugally-deep is a C++ header-only library for building/training Keras AI models.

In the other systems

SystemPortVersion
FreeBSDmisc/frugally-deep0.20.0
DragonFlymisc/frugally-deep0.16.2

Install

Binary package:

pkg install frugally-deep

From the ports tree:

cd /usr/ports/misc/frugally-deep/ && make install clean

To depend on this port in another port's Makefile:

RUN_DEPENDS=	frugally-deep>0:misc/frugally-deep

Packages

The version each package repository carries. “-” means the repository builds no package of it, “n/a” that there is no such repository.

Repositoryaarch64amd64armv6armv7i386
FreeBSD:14:latest-0.20.0-0.16.2-
FreeBSD:14:quarterly-0.20.0n/a0.16.2-
FreeBSD:15:latest-0.20.0n/a0.16.20.16.2
FreeBSD:15:quarterly-0.20.0n/an/an/a
FreeBSD:16:latest-0.20.0n/an/an/a
FreeBSD:16:quarterlyn/an/an/an/an/a

Dependencies

As this port's Makefile names them.

Build 2

Runtime 4

Test 1

The full lists below include those, and their dependencies in turn.

Build dependencies 27
Run dependencies 121

The first 100 are listed.

No port depends on this one.

Configuration

No options to configure.

USES
cmake compiler:c++14-lang eigen:3,build,run python:test
Service scripts
none

Files

pkg-plist 106
  • include/fdeep/base64.hpp
  • include/fdeep/common.hpp
  • include/fdeep/convolution.hpp
  • include/fdeep/convolution3d.hpp
  • include/fdeep/depthwise_convolution.hpp
  • include/fdeep/fdeep.hpp
  • include/fdeep/filter.hpp
  • include/fdeep/import_model.hpp
  • include/fdeep/layers/activation_layer.hpp
  • include/fdeep/layers/adaptive_pooling_3d_layer.hpp
  • include/fdeep/layers/add_layer.hpp
  • include/fdeep/layers/additive_attention_layer.hpp
  • include/fdeep/layers/attention_layer.hpp
  • include/fdeep/layers/average_layer.hpp
  • include/fdeep/layers/average_pooling_3d_layer.hpp
  • include/fdeep/layers/batch_normalization_layer.hpp
  • include/fdeep/layers/bidirectional_layer.hpp
  • include/fdeep/layers/category_encoding_layer.hpp
  • include/fdeep/layers/celu_layer.hpp
  • include/fdeep/layers/centercrop_layer.hpp
  • include/fdeep/layers/concatenate_layer.hpp
  • include/fdeep/layers/conv_2d_layer.hpp
  • include/fdeep/layers/conv_2d_transpose_layer.hpp
  • include/fdeep/layers/conv_3d_layer.hpp
  • include/fdeep/layers/conv_3d_transpose_layer.hpp
  • include/fdeep/layers/conv_lstm_2d_layer.hpp
  • include/fdeep/layers/conv_lstm_3d_layer.hpp
  • include/fdeep/layers/cropping_3d_layer.hpp
  • include/fdeep/layers/dense_layer.hpp
  • include/fdeep/layers/depthwise_conv_2d_layer.hpp
  • include/fdeep/layers/discretization_layer.hpp
  • include/fdeep/layers/dot_layer.hpp
  • include/fdeep/layers/einsum_dense_layer.hpp
  • include/fdeep/layers/elu_layer.hpp
  • include/fdeep/layers/embedding_layer.hpp
  • include/fdeep/layers/exponential_layer.hpp
  • include/fdeep/layers/flatten_layer.hpp
  • include/fdeep/layers/gelu_layer.hpp
  • include/fdeep/layers/global_average_pooling_3d_layer.hpp
  • include/fdeep/layers/global_max_pooling_3d_layer.hpp
  • include/fdeep/layers/global_pooling_layer.hpp
  • include/fdeep/layers/group_normalization_layer.hpp
  • include/fdeep/layers/group_query_attention_layer.hpp
  • include/fdeep/layers/gru_layer.hpp
  • include/fdeep/layers/hard_shrink_layer.hpp
  • include/fdeep/layers/hard_sigmoid_layer.hpp
  • include/fdeep/layers/hard_tanh_layer.hpp
  • include/fdeep/layers/input_layer.hpp
  • include/fdeep/layers/integer_lookup_layer.hpp
  • include/fdeep/layers/layer.hpp
  • include/fdeep/layers/layer_normalization_layer.hpp
  • include/fdeep/layers/leaky_relu_layer.hpp
  • include/fdeep/layers/linear_layer.hpp
  • include/fdeep/layers/log_sigmoid_layer.hpp
  • include/fdeep/layers/log_softmax_layer.hpp
  • include/fdeep/layers/lstm_layer.hpp
  • include/fdeep/layers/max_pooling_3d_layer.hpp
  • include/fdeep/layers/maximum_layer.hpp
  • include/fdeep/layers/minimum_layer.hpp
  • include/fdeep/layers/model_layer.hpp
  • include/fdeep/layers/multi_head_attention_layer.hpp
  • include/fdeep/layers/multiply_layer.hpp
  • include/fdeep/layers/normalization_layer.hpp
  • include/fdeep/layers/permute_layer.hpp
  • include/fdeep/layers/pooling_3d_layer.hpp
  • include/fdeep/layers/prelu_layer.hpp
  • include/fdeep/layers/relu_layer.hpp
  • include/fdeep/layers/repeat_vector_layer.hpp
  • include/fdeep/layers/rescaling_layer.hpp
  • include/fdeep/layers/reshape_layer.hpp
  • include/fdeep/layers/resizing_layer.hpp
  • include/fdeep/layers/rms_normalization_layer.hpp
  • include/fdeep/layers/selu_layer.hpp
  • include/fdeep/layers/separable_conv_2d_layer.hpp
  • include/fdeep/layers/sigmoid_layer.hpp
  • include/fdeep/layers/simple_rnn_layer.hpp
  • include/fdeep/layers/soft_shrink_layer.hpp
  • include/fdeep/layers/softmax_layer.hpp
  • include/fdeep/layers/softplus_layer.hpp
  • include/fdeep/layers/softsign_layer.hpp
  • include/fdeep/layers/sparse_plus_layer.hpp
  • include/fdeep/layers/square_plus_layer.hpp
  • include/fdeep/layers/stacked_rnn_layer.hpp
  • include/fdeep/layers/subtract_layer.hpp
  • include/fdeep/layers/swish_layer.hpp
  • include/fdeep/layers/tanh_layer.hpp
  • include/fdeep/layers/tanh_shrink_layer.hpp
  • include/fdeep/layers/threshold_layer.hpp
  • include/fdeep/layers/time_distributed_layer.hpp
  • include/fdeep/layers/unit_normalization_layer.hpp
  • include/fdeep/layers/upsampling_1d_layer.hpp
  • include/fdeep/layers/upsampling_2d_layer.hpp
  • include/fdeep/layers/upsampling_3d_layer.hpp
  • include/fdeep/layers/zero_padding_3d_layer.hpp
  • include/fdeep/model.hpp
  • include/fdeep/node.hpp
  • include/fdeep/recurrent_ops.hpp
  • include/fdeep/shape2.hpp
  • include/fdeep/shape3.hpp
  • include/fdeep/tensor.hpp

The first 100 are listed.

distinfo 1
FileSizeSHA256
Dobiasd-frugally-deep-v0.20.0_GH0.tar.gz22485879a1f400523d629a5f7545f23c152f5b2ba17668a0e07edf8949658ee4066002

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